Analysis of choice behaviour via probabilistic ideal point and vector models

DOI10.1002/asm.3150020405zbMath0624.62109OpenAlexW2130561323MaRDI QIDQ3026128

Wolfgang Gaul, I. Böckenholt

Publication date: 1986

Published in: Applied Stochastic Models and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asm.3150020405

zbMATH Keywords

maximum likelihood estimateschoice behaviourlog-likelihood ratio testsmaximum likelihood multidimensional scalingpaired comparisons preference dataprobabilistic ideal pointprobabilistic unfoldingvector approaches

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (8)

A logistic representation of multivariate paired-comparison models ⋮ Positioning analysis using knowledge-based support ⋮ Modeling within-subject dependencies in ordinal paired comparison data ⋮ Principal component analysis of binary data by iterated singular value decomposition ⋮ A Bayesian approach to the spatial representation of market structure from consumer choice data ⋮ Modeling viewpoint shifts in probabilistic choice ⋮ Optimal product positioning based on paired comparison data ⋮ Maximum likelihood estimation of factor and ideal point models for paired comparison data

Cites Work

• A barrier method with arbitrary starting point¹
• A GENERAL PROCEDURE FOR PARAMETER ESTIMATION FOR THE LAW OF COMPARATIVE JUDGEMENT

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